Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation by Di Guo, Xiaobo Qu, Xiaofeng Du, Keshou Wu, Xuhui Chen

“…An alternating direction minimization algorithm is derived to solve the regularization model. …”
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Nonlinear Dynamic Model-Based Adaptive Control of a Solenoid-Valve System by DongBin Lee, Peiman Naseradinmousavi, C. Nataraj

“…The parameter groups are updated by adaptation laws using a projection algorithm. Numerical simulation results are shown to demonstrate good performance of the proposed nonlinear model-based adaptive approach and to compare the performance of the same solenoid-valve system with a non-adaptive method as well.…”
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Multiobjective Synthesis of Steerable UWB Circular Antenna Array considering Energy Patterns by Leopoldo A. Garza, Marco A. Panduro, David H. Covarrubias, Alberto Reyna

“…The method of Differential Evolution for Multiobjective Optimization (DEMO) is used as the optimization algorithm in this work. This design of steerable UWB circular arrays considers the optimization of the true-time exciting delays and the amplitude coefficients across the antenna elements to operate with optimal performance in the whole azimuth plane (360°). …”
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A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…In this paper, we propose an adaptive coordinator selection algorithm using game and fuzzy logic aiming at both minimizing the average number of hops and maximizing network lifetime. …”
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Balance evaluation system using wearable IMU sensing by Tiantian Wang, Minghui Liu, Benkun Bao, Senhao Zhang, Liuxin Yang, Hongbo Yang, Kai Guo, Dianhuai Meng

“…Together with the random forest algorithm, our classification method achieved classification results with accuracy, recall, precision, f1-score, and specificity scores above 95%, This study provides a more portable and highly accurate tool for assessing balance ability.…”
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On Stability of Multi-Valued Nonlinear Feedback Shift Registers by Haiyan Wang, Qiuzhen Lin, Jianyong Chen, Jianqiang Li, Jianghua Zhong, Dongdai Lin, Jia Wang, Lijia Ma

“…Based on its logic network representation, some sufficient and necessary conditions are provided for globally (locally) stable multi-valued NFSRs, explicit forms are given for the set of basins, and the algorithm for obtaining the set of basins is provided as well. …”
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Planning and Scheduling Process for a Grid-Connected Microgrid Based on Renewable Energy Sources by a Novel Fuzzy Method by Zhao Lijun, Li Qingsheng, Ding Guanhua

“…Moreover, this work employed a 3-stage optimization algorithm for obtaining the best programming for the MG by considering the uncertain parameters. …”
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Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory by Zixuan Liu, Jun Wu, Ruijin Zhu, Dewen Kong, Hao Guo

“…Secondly, the differential evolution algorithm and GUROBI solver are used to solve for the maximum revenue, internal electricity price, and electricity consumption of PCSSIS and the distribution network. …”
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Optimal Commissioning of Power Plant Units by Including an Energy Storage System and Demand-Side Program Using a Hybrid Bacterial Foraging and Honey Bee Optimization Method by Afshar Shokri, Hamid Shakibi, Behrooz Sobhani

“…To solve the problem of UC programming, a hybrid honey bee mating and bacterial foraging algorithm are used to reduce the complexity of the problem and achieve optimal results.…”
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Curing simulation and data-driven curing curve prediction of thermoset composites by Chenchen Wu, Ruming Zhang, Pengyuan Zhao, Liang Li, Dingguo Zhang

“…Then, the temperature–time and the resulting degree-of-cure-time curves obtained from finite element simulations were created for training the prediction models using machine learning approaches of support vector regression (SVR), back propagation (BP) neural network and BP neural network optimized by genetic algorithm (GA-BP). The validation and evaluation indices illustrate that the degree-of-cure curve prediction model trained by the GA-BP neural network yields the highest accuracy.…”
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Research on the Relationship between Business Cycle and Industrial Fluctuations in Northeast China Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise by Yinan Zhou, Guofeng Gu, Qiushuang Ren

“…The relationship between economic and industrial fluctuations in the three provinces of Northeast China was reexamined from the angle of fluctuation components with the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) algorithm. The results obtained are as follows: (1) In the three northeastern provinces of China, economic fluctuations were almost free from the influence of the primary industry, most affected by the secondary industry, and gradually influenced by the tertiary industry after the 21st century. (2) Regarding the short-term business cycle of each province, economic development was the most stable when the market and government participated in the development of the secondary industry simultaneously. (3) The midterm business cycle of Jilin Province was affected by the investment of equipment in secondary and tertiary industries, while that of Liaoning Province was affected by the investment of equipment in the secondary industry. (4) Investment in the equipment of the secondary industry and the construction of secondary and tertiary industries was the key to maintaining the stability of long-term business cycle in Heilongjiang Province, and that in the construction of secondary and tertiary industries was the key to maintaining the stability of long-term business cycles in Jilin and Liaoning Provinces.…”
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Coordination Control of Active Steering and Direct Yaw Control for the Articulated Steering Vehicle by Bin Huang, Zhijun Yuan, Dengzhi Peng, Xiaoxu Wei, Yongsheng Wang

“…The results suggest that the provided controller has a better stability performance than the current antiwindup PID control algorithm. It lays a good foundation for the vehicle safety and path tracking of ASV in the ITS.…”
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Development of a High‐Latitude Convection Model by Application of Machine Learning to SuperDARN Observations by W. A. Bristow, C. A. Topliff, M. B. Cohen

“…Abstract A new model of northern hemisphere high‐latitude convection derived using machine learning (ML) is presented. The ML algorithm random forests regression was applied to a database of velocities derived from the Super Dual Auroral Radar Network (SuperDARN) observations processed with the potential mapping technique, Map‐Potential (Ruohoniemi & Baker, 1998, https://doi.org/10.1029/98ja01288). …”
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Modern modes of chronic hepatitis C treatment by V. T. Ivashkin, M. V. Mayevskaya, M. A. Morozova, Ye. O. Lyusina

“…Recently principles of antiviral treatment were seriously reconsidered, that inevitably leads to sophistication of therapeutic algorithms. So, modification of treatment mode according to virologic response is rational today. …”
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Multidirectional Anisotropic Total Variation and Its Application in the Tomography of the Surrounding Rock of Coal Mining Faces by Bo Chen, Guowei Zhu, Zhenqiang Yang

“…The computed tomography (CT) reconstruction algorithm is one of the crucial components of the CT system. …”
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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

“…Values of the regularization or penalty term of the quantum scalar field has critical role to matching this two mentioned metric. Also, we design an algorithm which helps us to find optimum value for learning parameter and finally, we understand that loss function convergence heavily depends on the number of epochs and learning rate.…”
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Stock Price Change Rate Prediction by Utilizing Social Network Activities by Shangkun Deng, Takashi Mitsubuchi, Akito Sakurai

“…In this paper, we propose a hybrid model that combines multiple kernel learning (MKL) and genetic algorithm (GA). MKL is adopted to optimize the stock price change rate prediction models that are expressed in a multiple kernel linear function of different types of features extracted from different sources. …”
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Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters by Hossam H. H. Mousa, Karar Mahmoud, Matti Lehtonen

“…The IEEE 123-bus test system, divided into six operational zones, is used as a case study, incorporating plug-in electric vehicle (PEV) demand and wind-based distributed generation (DG). A metaheuristic algorithm is developed for optimal DG and ESS deployment using MATLAB and OpenDSS. …”
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Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams by Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…The ANN model seems to be the best algorithm of machine learning for predicting the CSB load-carrying capacity.…”
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The Optimization of Path Planning for Express Delivery Based on Clone Adaptive Ant Colony Optimization by Yao Zhang, Yan Liu, Chaoqun Li, Yang Liu, Jie Zhou

“…Finally, by comparing the performance of CAACO with ant colony optimization (ACO), simulated annealing (SA), and genetic algorithm (GA), the effectiveness of CAACO in solving the express LAMP is verified. …”
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